\begin{table}[h!]
\centering
\caption{Effects in \% of Control Group Means} 
\label{tab:effects_in_perc}
\begin{tabular}{lrrr}
  \hline
\textbf{Outcome} & \textbf{Control Mean} & \textbf{Treatment Mean} & \textbf{\% Treatment Effect} \\ 
  \hline
Accuracy Discernment & 1.01 & 1.36 & 34.61 \\ 
  Sharing Discernment & 0.64 & 0.81 & 27.32 \\ 
  Source Discernment & 0.51 & 0.72 & 42.05 \\ 
  Health Preferences & 0.88 & 1.01 & 15.11 \\ 
  Engagement Attitude & -1.05 & -1.00 & 4.71 \\ 
  Engagement Behavior & -2.03 & -2.01 & 1.01 \\ 
  Awareness & -1.06 & -1.11 & -5.16 \\ 
   \hline
\multicolumn{4}{p{0.85\textwidth}}{\footnotesize The treatment effect is expressed as a percentage change relative to the control group mean. For each index, we first rescale all contributing items to range from 0 to 1 based on the observed minimum and maximum in the data. Composite indices are then computed by summing the relevant rescaled items. The percentage effect is calculated as: $\frac{\text{Treatment Mean} - \text{Control Mean}}{|\text{Control Mean}|}* 100$.} \\
\end{tabular}
\end{table}
